{"componentChunkName":"component---src-templates-post-js","path":"/projects/sadeeq-al-siha","result":{"data":{"markdownRemark":{"html":"<h2>Overview</h2>\n<p>Medical RAG (Retrieval-Augmented Generation) QA application using the Meditron 7B LLM, Qdrant vector database, and PubMedBERT embeddings — designed for accurate, literature-grounded medical answers through a Chainlit interface.</p>\n<h2>Details</h2>\n<ul>\n<li><strong>Meditron 7B</strong> for medical question answering via Ollama</li>\n<li><strong>Qdrant</strong> for scalable vector search over medical embeddings</li>\n<li><strong>PubMedBERT</strong> embeddings trained on medical literature</li>\n<li><strong>Chainlit</strong> UI for interactive clinical Q&#x26;A</li>\n</ul>\n<p>Repo: <a href=\"https://github.com/oelbourki/Sadeeq-Al-Siha-Medical-Chatbot\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">oelbourki/Sadeeq-Al-Siha-Medical-Chatbot</a></p>","frontmatter":{"title":"Sadeeq Al-Siha Medical Chatbot","description":"Medical RAG QA with Meditron 7B, Qdrant, and PubMedBERT for evidence-grounded clinical answers","date":"2024-01-15","slug":"/projects/sadeeq-al-siha","tags":["LLM","Chatbot","Healthcare","RAG"]}}},"pageContext":{}},"staticQueryHashes":["1064330971","1994492073","2009693873","3298314076"]}